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Embedded Ai Engineer Jobs in Riverside, CA (NOW HIRING)

TRL11, Inc.

Jr Algorithms/Video Engineer

Irvine, CA · On-site

$80 - $150K/hr

... Video Engineers with a focus on cutting edge video processing technology, to join our team. You ... Design and optimize AI/ML models for deployment on resource-constrained embedded platforms ...

TRL11, Inc.

Jr Algorithms/Video Engineer

Irvine, CA · On-site

$80 - $150K/hr

... Video Engineers with a focus on cutting edge video processing technology, to join our team. You ... Design and optimize AI/ML models for deployment on resource-constrained embedded platforms ...

TRL11, Inc.

Jr Algorithms/Video Engineer

Irvine, CA · On-site

$80 - $150K/hr

... Video Engineers with a focus on cutting edge video processing technology, to join our team. You ... Design and optimize AI/ML models for deployment on resource-constrained embedded platforms ...

Apply Early

TRL11, Inc.

Sr Algorithms/Video Engineer

Irvine, CA · On-site

$150K - $220K/yr

... Video Engineers with a focus on cutting edge video processing technology, to join our team. You ... Design and optimize AI/ML models for deployment on resource-constrained embedded platforms ...

Quora

AI Automation Engineer -Remote

Pomona, CA · On-site +1

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal ...

Quora

AI Automation Engineer -Remote

Pomona, CA · On-site

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal ...

FieldAI

Robotics Product Security Engineer

Irvine, CA · On-site

$63 - $84.25/hr

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field ... Harden embedded Linux systems and robotic compute environments against remote and physical attack ...

FieldAI

Robotics Product Security Engineer

Irvine, CA · On-site

$63 - $84.25/hr

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field ... Harden embedded Linux systems and robotic compute environments against remote and physical attack ...

FieldAI

Robotics Product Security Engineer

Irvine, CA · On-site

$63 - $84.25/hr

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field ... Harden embedded Linux systems and robotic compute environments against remote and physical attack ...

Apply Early

FieldAI

Electrical Engineer-Federal

Irvine, CA · On-site

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Create PCBs for power distribution, protocol bridging, and embedded control. * Networking ...

FieldAI

Electrical Engineer-Federal

Irvine, CA

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Create PCBs for power distribution, protocol bridging, and embedded control. * Networking ...

Panasonic Avionics Corporation

MTS III, Software

Irvine, CA · On-site

$61 - $82/hr

... engineering best practices and AI tools. • Perform code reviews and provide constructive ... embedded services. Company : For 40 years, Panasonic Avionics has strengthened the connection ...

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Showing results 1-20

All JobsEmbedded Ai Engineer JobsEmbedded Ai Engineer Jobs in Riverside, CA

Embedded Ai Engineer information

See Riverside, CA salary details

$73K

$160K

$181.5K

How much do embedded ai engineer jobs pay per year?

As of Jul 2, 2026, the average yearly pay for embedded ai engineer in Riverside, CA is $160,020.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,200.00 and $180,500.00 per year, depending on experience, location, and employer.

What is an Embedded AI Engineer?

An Embedded AI Engineer is a professional who designs, develops, and implements artificial intelligence (AI) algorithms and models directly onto embedded systems, such as microcontrollers or edge devices. Their work involves optimizing AI solutions to run efficiently on hardware with limited computing resources, power, and memory. They collaborate with hardware engineers and software developers to integrate machine learning, computer vision, or other AI functionalities into products like smart appliances, autonomous vehicles, or IoT devices. Their expertise helps bring intelligent features directly to devices, enabling real-time decision-making without needing constant cloud connectivity.

What is the difference between Embedded Ai Engineer vs Machine Learning Engineer?

CriteriaEmbedded Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Science, or related; knowledge of embedded systemsBachelor's or Master's in Computer Science, Data Science, or related; strong programming skills
Work EnvironmentEmbedded systems, IoT devices, hardware integrationData centers, cloud platforms, software development environments
Employer & Industry UsageConsumer electronics, automotive, IoT companiesTech firms, startups, research institutions
Common Search & ComparisonYesNo

Embedded Ai Engineers focus on integrating AI algorithms into embedded hardware and IoT devices, requiring knowledge of hardware constraints and embedded programming. Machine Learning Engineers develop models primarily for software applications and data analysis. While both roles involve AI, Embedded Ai Engineers specialize in hardware-software integration within embedded systems, whereas Machine Learning Engineers work on developing and deploying AI models in software environments.

What are the key skills and qualifications needed to thrive as an Embedded AI Engineer, and why are they important?

To thrive as an Embedded AI Engineer, you need expertise in embedded systems, AI/ML algorithms, programming languages like C/C++ and Python, and typically a degree in computer engineering or a related field. Familiarity with development tools such as TensorFlow Lite, ONNX, embedded Linux, and microcontroller platforms is essential, along with experience deploying AI models on resource-constrained devices. Strong problem-solving, collaboration, and communication skills help you work effectively in multidisciplinary teams and address real-world challenges. These skills ensure efficient integration of AI into embedded systems, enabling innovative, high-performance solutions for edge computing.

How does an Embedded AI Engineer typically collaborate with hardware and software teams during a project?

Embedded AI Engineers work closely with both hardware and software teams to ensure AI models are efficiently integrated into resource-constrained devices. They often collaborate with hardware engineers to optimize model performance based on device limitations like memory and processing power. At the same time, they coordinate with software developers to design efficient firmware and manage data pipelines. Regular cross-functional meetings and code reviews are common to address integration challenges and maintain alignment throughout the project lifecycle.
What job categories do people searching Embedded Ai Engineer jobs in Riverside, CA look for? The top searched job categories for Embedded Ai Engineer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Embedded Ai Engineer jobs? Cities near Riverside, CA with the most Embedded Ai Engineer job openings:
Embedded Ai Engineer jobs near you
Infographic showing various Embedded Ai Engineer job openings in Riverside, CA as of June 2026, with employment types broken down into 75% Full Time, 9% Part Time, 1% Temporary, and 15% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $160,020 per year, or $76.9 per hour.
Senior Linux BSP Software Engineer

Senior Linux BSP Software Engineer

Kforce Technology Staffing

Tustin, CA • On-site

$130K - $170K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

Job description

RESPONSIBILITIES:
Kforce's client, a growing, up and coming engineering technology company located in Tustin, CA, is hiring a Senior Linux BSP Software Engineer to support the design and development of next generation medical devices. We are working directly with the hiring manager on this search. The client offers competitive base salary + annual bonus + equity (RSUs).
Duties Include:
* Design and develop Embedded Linux BSPs from requirements through deployment
* Perform initial board bring up and customize boards from scratch
* Customize and maintain Linux kernel, bootloader, and Yocto build systems
* Develop device drivers, applications, and validation utilities
* Support legacy/EOL hardware and resolve OS and kernel level issues
* Collaborate with hardware teams on new platform development
* Improve system performance, stability, security, and scalability
REQUIREMENTS:
* B.S. or higher in Computer Engineering, Electrical Engineering, Computer Science or related field
* 3-12+ years of embedded software development in C (Mid-level to Senior candidates considered)
* Strong experience with Embedded Linux BSPs and board bring up
* Deep hands-on experience with Yocto/OpenEmbedded (required)
* Linux kernel and bootloader development experience
* Solid understanding of OS fundamentals, hardware I/O, and system level debugging
* Ability to read schematics and component datasheets
* Wi Fi/Bluetooth experience a plus
Proven ability to build and customize Yocto from scratch, including:
* Custom meta layers
* Machine configurations (.conf)
* Kernel and bootloader recipes
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

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